Data privacy controls how information is collected, used, shared, and disposed of, in accordance with policies or external laws and regulations. In this course, students will gain an understanding of what data privacy is along with how to identify and understand typical data protection and privatization objectives that an enterprise may have, and how to choose a data protection approach. The student will gain a background in multiple data privacy mechanisms and practices, and learn how to grow their data protection toolkit. The IBM DataFirst method will be the backbone of the discussion.
Ofrecido Por


IBM Data Privacy for Information Architecture
Habilidades en redes de IBMAcerca de este Curso
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Prueba Coursera para negociosHabilidades que obtendrás
- Information Privacy
- IBM datafirst method
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Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
IBM DataFirst Data Privacy introduction
Data governance and organizational structures
Dealing with regulation
Data governance intersections
Reseñas
- 5 stars75,67 %
- 4 stars13,51 %
- 3 stars5,40 %
- 1 star5,40 %
Principales reseñas sobre IBM DATA PRIVACY FOR INFORMATION ARCHITECTURE
Practice first guidance, clear and concise. Perfectly organized for a holistic approach to the theme under a proposed method.
A very comprehensive and to-point training! Highly recommended to get a grasp on the array of concepts which Data privacy entails and to get acquainted with the breadth and depth of the program.
Very valuable information with practical real-world examples presented in a professional manner at a good pace.
very informative but need content on regulatory part also
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